Frontiers in Energy
>> 2008,
Volume 2,
Issue 1
doi:
10.1007/s11708-008-0007-4
Aerodynamic design by jointly applying S2 flow
surface calculation and modern optimization methods on multistage
axial turbine
Academy of Energy Science and Engineering, Harbin Institute of Technology
Available online: 2008-03-05
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Abstract
A three-stage axial turbine was redesigned by jointly applying S2 flow surface direct problem calculation methods and multistage local optimization methods. A genetic algorithm and artificial neural network were jointly adopted during optimization. A three-dimensional viscosity Navier–Stokes equation solver was applied for flow computation. H-O-H-topology grid was adopted as computation grid, that is, an H-topology grid was adopted for inlet and outlet segment, whereas an O-topology grid was adopted for stator zone and rotor zone. Through the optimization design, the total efficiency increases 1.1%, thus indicating that the total performance is improved and the design objective is achieved.
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